Triple

T8754682
Position Surface form Disambiguated ID Type / Status
Subject GAZ Group E208044 entity
Predicate brand P1500 FINISHED
Object GAZelle
GAZelle is a popular line of light commercial vehicles produced by the Russian manufacturer GAZ Group, widely used for cargo and passenger transport.
 E754543 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: GAZelle | Statement: [GAZ Group, brand, GAZelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GAZelle
Context triple: [GAZ Group, brand, GAZelle]
  • A. Gazelle
    Gazelle is a lethal, acrobatic assassin from the Kingsman film series, recognizable for her bladed prosthetic legs and role as Richmond Valentine’s chief enforcer.
  • B. Gazelle
    The Gazelle is a light, fast, and highly maneuverable French-designed military helicopter widely used for reconnaissance, light attack, and training missions.
  • C. Gazella
    Gazella is a genus of small, swift antelopes commonly known as gazelles, native to arid and semi-arid regions of Africa and Asia.
  • D. Gepard
    The Gepard is a German self-propelled anti-aircraft gun system featuring twin 35 mm cannons and radar for tracking and engaging low-flying aircraft and drones.
  • E. Cheetah
    Cheetah is the internal codename for Mac OS X 10.0, the first major release of Apple's Mac OS X operating system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GAZelle
Triple: [GAZ Group, brand, GAZelle]
Generated description
GAZelle is a popular line of light commercial vehicles produced by the Russian manufacturer GAZ Group, widely used for cargo and passenger transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GAZelle
Target entity description: GAZelle is a popular line of light commercial vehicles produced by the Russian manufacturer GAZ Group, widely used for cargo and passenger transport.
  • A. Gazelle
    Gazelle is a lethal, acrobatic assassin from the Kingsman film series, recognizable for her bladed prosthetic legs and role as Richmond Valentine’s chief enforcer.
  • B. Gazelle
    The Gazelle is a light, fast, and highly maneuverable French-designed military helicopter widely used for reconnaissance, light attack, and training missions.
  • C. Gazella
    Gazella is a genus of small, swift antelopes commonly known as gazelles, native to arid and semi-arid regions of Africa and Asia.
  • D. Gepard
    The Gepard is a German self-propelled anti-aircraft gun system featuring twin 35 mm cannons and radar for tracking and engaging low-flying aircraft and drones.
  • E. Cheetah
    Cheetah is the internal codename for Mac OS X 10.0, the first major release of Apple's Mac OS X operating system.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dd83088819082cf54adc0c04243 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf43305664819085e762e42b138754 completed April 3, 2026, 4:33 a.m.
NEDg Description generation batch_69cf452b237c8190958f7b42e9611e7b completed April 3, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69cf45e6f4108190ac6955264b466abb completed April 3, 2026, 4:45 a.m.
Created at: March 30, 2026, 6:39 p.m.